Sze Kim Pang

11 papers and 384 indexed citations i.

About

Sze Kim Pang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistics and Probability. According to data from OpenAlex, Sze Kim Pang has authored 11 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 2 papers in Statistics and Probability. Recurrent topics in Sze Kim Pang’s work include Target Tracking and Data Fusion in Sensor Networks (7 papers), Bayesian Methods and Mixture Models (4 papers) and Video Surveillance and Tracking Methods (3 papers). Sze Kim Pang is often cited by papers focused on Target Tracking and Data Fusion in Sensor Networks (7 papers), Bayesian Methods and Mixture Models (4 papers) and Video Surveillance and Tracking Methods (3 papers). Sze Kim Pang collaborates with scholars based in United Kingdom, Singapore and France. Sze Kim Pang's co-authors include Simon Godsill, Amadou Gning, Lyudmila Mihaylova, Jack Li, Avishy Carmi, François Septier, David Barber, Simon Maskell, Marcus Y. Chen and Marc Toussaint and has published in prestigious journals such as IEEE Transactions on Signal Processing, IEEE Transactions on Aerospace and Electronic Systems and IEEE Journal of Selected Topics in Signal Processing.

In The Last Decade

Co-authorship network of co-authors of Sze Kim Pang i

Fields of papers citing papers by Sze Kim Pang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sze Kim Pang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Sze Kim Pang. The network helps show where Sze Kim Pang may publish in the future.

Countries citing papers authored by Sze Kim Pang

Since Specialization
Citations

This map shows the geographic impact of Sze Kim Pang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Sze Kim Pang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sze Kim Pang more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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